arXiv:2605.22841v1 Announce Type: cross Abstract: What happens when the strongest alliance member pressures a weaker member over territory and strategic control? We examine the Greenland sovereignty crisis as a stress test for LLM geopolitics, centered on the 2019-2026 U.S. push to acquire Greenland from the Kingdom of Denmark. The crisis nests two collective-action problems: Arctic strategic control and whether NATO can enforce alliance norms against the dominant member. We develop three games (asymmetric coercion; a NATO assurance game with a critical-mass tipping point; a triadic extensive-
The specific timeframe of the 2019-2026 U.S. push to acquire Greenland places an immediate and quantifiable context on geopolitical tensions previously explored in more abstract terms.
This analysis provides a stress test for LLM geopolitics and highlights how AI is being used to model complex international relations, revealing potential vulnerabilities in alliance structures and norms.
The application of AI modeling to contemporary, high-stakes geopolitical scenarios elevates the analytical tools available for understanding strategic coercion and alliance dynamics.
- · AI-powered geopolitical analysis platforms
- · Defence strategists
- · Geopolitical modelers
- · Unprepared diplomatic institutions
- · Traditional geopolitical analysis methods
Geopolitical simulations become a more common and sophisticated tool for forecasting and policy recommendation.
Nations and alliances may invest more heavily in AI-driven intelligence and counter-intelligence capabilities to navigate such scenarios.
The outcomes of AI-driven geopolitical simulations could directly influence real-world diplomatic and military strategies, potentially escalating or de-escalating tensions based on model predictions.
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Read at arXiv cs.AI